A fog computing-based framework to reduce traffic overhead in large-scale industrial applications
Mithun Mukherjee, Lei Shu, Di Wang, Kailiang Li, Yu Chen · 2017
With the recent advancement in sensing devices, large-scale industries generates a massive amount of data which are generally processed in a centralized manner. In this poster, Fog Computing paradigm is employed for the industrial applications with an aim to reduce traffic overhead leveraging storage and computing services toward edge devices.